Salary: £? – ? per year
Requirements
- We need strong AWS cloud platform migration and Terraform expertise.
- We need in-depth data engineering experience.
- We need experience migrating data platforms and data workloads from legacy Databricks environments to modern AWS cloud-based data platforms.
- We need strong Terraform and Infrastructure as Code (IaC) skills, including developing and maintaining Terraform code for data platform deployments.
- We need experience with Python, PySpark, SQL, data pipeline development, ETL/ELT design, data modelling, data quality, and data validation.
- We need experience with AWS services, including S3 and IAM.
- We need familiarity with CI/CD concepts, DevOps principles, and Agile delivery.
- We strongly prefer experience in Government, Public Sector, or related domains.
- We strongly prefer experience with Databricks, Palantir Foundry, Foundry Pipeline Builder, Ontology concepts, Delta Lake, Secure Data Environment (SDE), or NHS/Healthcare data.
- We require candidates to be active SC Cleared or fully eligible to undergo the full SC Security Clearance process.
Responsibilities
- We will focus on data engineering, cloud platform migration, infrastructure automation, and supporting the delivery of large-scale data processing solutions.
- We will support a major data platform modernisation programme, including migration of data pipelines, notebooks, and data workloads from a legacy Databricks environment to modern AWS cloud-based data platforms.
- We will develop and maintain Terraform code to support data platform deployments.
- We will support deployment of data platform components, jobs, permissions, and environment configurations.
- We will analyse current data engineering solutions and identify data migration requirements.
- We will onboard datasets, users, and workloads onto the target platform.
Technologies
- AWS
- CI/CD
- Cloud
- Databricks
- DevOps
- ETL
- IAM
- Support
- Python
- PySpark
- SQL
- Security
- Terraform
This is a 6‑month rolling contract based in London, with a hybrid working model of 3‑4 days per week remote and 1‑2 days per week in the office, plus occasional travel to Leeds.
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